
During this period, contributed to the microsoft/fabric-samples repository by developing a few-shot NL-to-SQL validation workflow for the Fabric Data Agent SDK. The work centered on building a Jupyter Notebook that demonstrates installation, data loading, and LLM-based validation, guiding users through interpreting results. Python and SQL were used to implement the validation logic and manage synthetic datasets, while Markdown updates improved documentation by linking to public datasets for streamlined testing. The focus was on practical data validation and notebook development, providing a clear, reproducible workflow for evaluating NL-to-SQL tasks and enhancing the overall developer experience with accessible resources.
Month: 2025-09 — Focused on delivering a practical validation workflow for Fabric Data Agent SDK and strengthening developer docs. Key work: Added a few-shot NL-to-SQL validation notebook and updated documentation with synthetic dataset links. Commits: fa757bace52bcfe0ff0c1c017993c36cafcd99b9; b17f0ecdcde7d6ffe424d9e3e167cff0993bfd63.
Month: 2025-09 — Focused on delivering a practical validation workflow for Fabric Data Agent SDK and strengthening developer docs. Key work: Added a few-shot NL-to-SQL validation notebook and updated documentation with synthetic dataset links. Commits: fa757bace52bcfe0ff0c1c017993c36cafcd99b9; b17f0ecdcde7d6ffe424d9e3e167cff0993bfd63.

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